KI-Beratung Beta
Vor Ort
Merkzettel Warenkorb
  • Produktbild: Advanced Network Technologies and Intelligent Computing
  • Produktbild: Advanced Network Technologies and Intelligent Computing
Band 2092 - 11%

Advanced Network Technologies and Intelligent Computing Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part III

Aus der Reihe Communications in Computer and Information Science
11% sparen

72,99 € UVP 82,49 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.07.2024

Abbildungen

XXI, 398 p. 195 illus., 164 illus. in color.

Herausgeber

Anshul Verma + weitere

Verlag

Springer

Seitenzahl

398

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

633 g

Auflage

2024

Sprache

Englisch

ISBN

978-3-031-64069-8

Beschreibung

Portrait

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.07.2024

Abbildungen

XXI, 398 p. 195 illus., 164 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

398

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

633 g

Auflage

2024

Sprache

Englisch

ISBN

978-3-031-64069-8

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Advanced Network Technologies and Intelligent Computing
  • Produktbild: Advanced Network Technologies and Intelligent Computing

  • .- Intelligent Computing.



    .- Implementation and Performance Evaluation of Deep Learning Models for Disease Classification and Severity Estimation of Coffee Leaves.



    .- Flow-Optimized Channel-Attentive Excitation DenseNet Algorithm for Multi-Disease Classification and Severity Estimation.



    .- Image Captioning using Deep Learning.



    .- Visualizing Optimal Classifiers in EEG-Based Sleepy Driver Prediction.



    .- Revolutionizing Glaucoma Diagnosis with a Hybrid AI Algorithm.



    .- Unravelling Crop Yield Secrets Through Identification of Significant Factors Using Machine Learning.



    .- Comparative Analysis of Short-Term Load Forecasting Using K-Nearest Neighbor, Random Forest, and Gradient Boost Models.



    .- Heuristics for Influence Maximization with Tiered Influence and Activation thresholds.



    .- Sentiment Analysis and Offensive Language Identification In Code-Mixed Tamil-English Languages Using Transformer-based Models.



    .- Performance evaluation of Deep Transfer Learning and Semantic Segmentation models for crop and weed detection in the Sesame Production System.



    .- Machine Learning Analysis on Hate Speech against Asians.



    .- Deep Transfer Learning for Enhanced Blackgram Disease Detection: A Transfer Learning - Driven Approach.



    .- Sustainable Natural Gas Price Forecasting with DEEPAR.



    .- Whale Optimized Deep Learning Technique for Accurate Skin Cancer Identification.



    .- Multi-Domain Feature Extraction Methods for Classification of Human Emotions from Electroencephalography (EEG) Signals.



    .- Enhancing Speech Quality using Spectral Subtraction and Time-Frequency Filtering.



    .- Analyzing the performance of BERT for the sentiment classification task in Bengali text.



    .- Student’s Performance Prediction using Decision Tree Regressor.



    .- A Comprehensive Analysis on Features and Performance Evaluation Metrics in Audio-Visual Voice Conversion.



    .- Time Series Analytic Models for Forecasting Vehicular Registration Volume in the Indian Context.



    .- Impact of Clinical Features on Disease Diagnosis using Knowledge Graph Embedding and Machine Learning: a Detailed Analysis.



    .- Advancements in Alzheimer's Disease Diagnosis: The MRI-CNN Synergy for Early Detection.



    .- Drinking Addiction Predictive Model Using Body  Characteristics Machine Learning Approach.



    .- An Ensemble of Machine Learning Models Utilizing Deep Convolutional Features for Medical Image Classification.